layoutlm-funsd-tf / README.md
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metadata
license: mit
base_model: microsoft/layoutlm-base-uncased
tags:
  - generated_from_keras_callback
model-index:
  - name: aslessor/layoutlm-funsd-tf
    results: []

aslessor/layoutlm-funsd-tf

This model is a fine-tuned version of microsoft/layoutlm-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 1.1357
  • Validation Loss: 1.1454
  • Train Overall Precision: 0.3449
  • Train Overall Recall: 0.4952
  • Train Overall F1: 0.4066
  • Train Overall Accuracy: 0.5503
  • Epoch: 2

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: mixed_float16

Training results

Train Loss Validation Loss Train Overall Precision Train Overall Recall Train Overall F1 Train Overall Accuracy Epoch
1.6900 1.4644 0.1772 0.1922 0.1844 0.4144 0
1.3402 1.2155 0.2920 0.4566 0.3562 0.4865 1
1.1357 1.1454 0.3449 0.4952 0.4066 0.5503 2

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.15.0
  • Datasets 2.17.0
  • Tokenizers 0.15.2